All Paid Courses (Free for First 4500 People)
๐ฃ๐ฎ๐ถ๐ฑ ๐๐ผ๐๐ฟ๐๐ฒ ๐๐ฅ๐๐ (PART - 1)
1. Artificial Intelligence
2. Machine Learning
3. Prompt Engineering
4. Claude,Chatgpt,Grok
5. Data Analytics
6. AWS Certified
7. Data Science
8. BIG DATA
9. Python
10. Ethical Hacking
(72 Hours only )
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INSTEAD OF WATCHING AN HOUR OF NETFLIX TONIGHT.
This 1 hour Stanford lecture by Joel Peterson will teach you more about negotiation and getting what you want than most people learn in years.
Bookmark it and give it an hour, no matter what.
Instead of watching an hour of Netflix, watch this 2-hour Stanford lecture, which will teach you more about how LLMs like ChatGPT and Claude are built than most people working at top AI companies learn in their entire careers.
Instead of watching an hour of Netflix, watch this 2-hour Stanford lecture, which will teach you more about how LLMs like ChatGPT and Claude are built than most people working at top AI companies learn in their entire careers.
All Paid Courses โ 100% FREE (Part 3)
I'm giving you access to 81+ free courses. ๐๐
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10. Hacking and more with 73+ courses.
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Want a skill that can double your salary?
Start with Excel โ then master Data Analysis.
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Perfect even if youโve never used Excel professionally.
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3. Comment โFree Guideโ
AI skills will be crucial for years to come.
Knowing how to use ChatGPT isnโt enough.
Learn these AI skills to future-proof your career:
(remember to ๐ bookmark for later)
1. Prompt Engineering:
Write better instructions to help AI tools give you exactly what you need.
2. AI Workflow Automation:
Link different apps together to help you complete tasks automatically.
3. AI Agents:
Use AI systems that act like teammates to handle tasks together.
4. Retrieval Augmented Generation (RAG):
Link AI chatbots to your private files for more accurate answers.
5. Multimodal AI:
Use AI that understands pictures, sounds, and text all at once.
6. Fine-Tuning and AI Assistants:
Build custom AI models or assistants tailored to your needs.
7. Voice AI and Avatars:
Make realistic AI voices and avatars for videos and presentations.
8. AI Tool Stacking:
Use tools like Notion, Zapier, and ChatGPT together to work faster.
9. AI Video Content Generation:
Turn your ideas or blog posts into professional videos using AI.
10. SaaS Development:
Build small AI-powered apps using no-code tools.
11. LLM Management:
Keep track of how well your AI tools are working and what they cost.
12. Stay Updated:
Follow top AI news sites to stay ahead of trends and new tools.
AI wonโt replace you.
But someone with AI skills might.
๐ Learn 30 free AI tools in 30 days: https://t.co/7MJCwAPtaQ
๐ Follow me @AndrewBolis for more and ๐ Repost this to help others learn AI
Stop wasting hours trying to learn AI. ๐๐
I have already done it for you.
With one list. Zero confusion. And no fluff
๐น Videos:
1. LLM Introduction: https://t.co/OLkDaY7H7g
2. LLMs from Scratch: https://t.co/2N91lxtSh1
3. Agentic AI Overview (Stanford): https://t.co/4xX3JiNUlm
4. Building and Evaluating Agents: https://t.co/paoZnUdySm
5. Building Effective Agents: https://t.co/TICgQVUFCk
6. Building Agents with MCP: https://t.co/EPKu3G7Fms
7. Building an Agent from Scratch: https://t.co/U3XSK0Qx85
8. Philo Agents: https://t.co/wGNERv8TpH
๐๏ธ Repos
1. GenAI Agents: https://t.co/mmvbJpOSlG
2. Microsoft's AI Agents for Beginners: https://t.co/zQLhaT3Wpl
3. Prompt Engineering Guide: https://t.co/wYFPPKX4H1
4. Hands-On Large Language Models: https://t.co/92ZZJh6MXG
5. AI Agents for Beginners: https://t.co/zQLhaT3Wpl
6. GenAI Agentshttps://lnkd.in/dEt72MEy
7. Made with ML: https://t.co/gvzfW6aKnf
8. Hands-On AI Engineering:https://t.co/DHTvNbpMVk
9. Awesome Generative AI Guide: https://t.co/jfjbl5CQvA
10. Designing Machine Learning Systems: https://t.co/KIV2X9uKQs
11. Machine Learning for Beginners from Microsoft: https://t.co/Gdl4oZxQEY
12. LLM Course: https://t.co/59QVZqGED0
๐บ๏ธ Guides
1. Google's Agent Whitepaper: https://t.co/Psy7vqkVR2
2. Google's Agent Companion: https://t.co/sdw5mZhsOM
3. Building Effective Agents by Anthropic: https://t.co/euyR1t8Dg0.
4. Claude Code Best Agentic Coding practices: https://t.co/psPsyWWMwH
5. OpenAI's Practical Guide to Building Agents: https://t.co/67B9XaLolZ
๐Books:
1. Understanding Deep Learning: https://t.co/j5xz5XfkFL
2. Building an LLM from Scratch: https://t.co/TX8BJPpxX0
3. The LLM Engineering Handbook: https://t.co/rSWCiuvZYW
4. AI Agents: The Definitive Guide - Nicole Koenigstein: https://t.co/m3Tq3vE6Go
5. Building Applications with AI Agents - Michael Albada: https://t.co/QM4mYlYdWh
6. AI Agents with MCP - Kyle Stratis: https://t.co/sIqEe430D6
7. AI Engineering: https://t.co/hs4bN4xFAV
๐ Papers
1. ReAct: https://t.co/k3tFy7pbvR
2. Generative Agents: https://t.co/yQp1Tjl94i.
3. Toolformer: https://t.co/RKBauj9GVX
4. Chain-of-Thought Prompting: https://t.co/fVqbr68wvt.
๐ง๐ซ Courses:
1. HuggingFace's Agent Course: https://t.co/OYgR6C8HNd
2. MCP with Anthropic: https://t.co/n5nnFc9DUC
3. Building Vector Databases with Pinecone: https://t.co/MLhJnfbdGG
4. Vector Databases from Embeddings to Apps: https://t.co/31zEvnwtfZ
5. Agent Memory: https://t.co/ldYc6RVmMj
Repost for your network โป๏ธ